Real-time Neural Decoding
Real-Time Neural Decoding is a computational framework within the broader category of neural decoding methods that enables the immediate translation of neural signals into interpretable outputs with minimal latency, distinguishing itself by supporting on-the-fly analysis and interaction in brain-computer interface applications.
63
Publications
3.5K
Citations
299
Authors
141
Institutions
Publications per year
2017–2026
32
Parents
63
A Wireless Brain-Machine Interface for Real-Time Speech Synthesis
Frank H. Guenther, Jonathan S. Brumberg, E. Joseph Wright et al. · PLoS ONE · 2009 · 316 citations · Full text
Mixture of Trajectory Models for Neural Decoding of Goal-Directed Movements
Byron M. Yu, Caleb Kemere, Gopal Santhanam et al. · Journal of Neurophysiology · 2007 · 164 citations
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141
Stanford University
Stanford, United States
6 h-index
20 publications
1.4K citations
University of California, San Francisco
San Francisco, United States
5 h-index
25 publications
3.3K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
10 publications
525 citations
Columbia University
New York, United States
4 h-index
5 publications
451 citations
University of California, Berkeley
Berkeley, United States
3 h-index
13 publications
1.1K citations
Neurological Surgery
Rockville Centre, United States
3 h-index
14 publications
2.3K citations
New York University
New York, United States
3 h-index
23 publications
927 citations
Harvard University
Cambridge, United States
3 h-index
3 publications
357 citations
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6 publications · 624 citations
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5 publications · 263 citations
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5 publications · 245 citations
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4 publications · 205 citations
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3 publications · 178 citations
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